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Linkedin Jobs Scraper

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Powerful LinkedIn job scraper that extracts detailed listings in seconds. Collect titles, companies, descriptions, and dates automatically — ideal for market research, job analytics, or HR insights. Fast, reliable, and easy to use on Apify.

Pricing

Pay per usage

Rating

5.0

(1)

Developer

CrawlerForge

Actor stats

Bookmarked

Total users

Monthly active users

24 days ago

Last modified

🧠 LinkedIn Jobs Scraper

Scrapify Spotlight

Extract job listings directly from LinkedIn with full details — titles, companies, locations, posting dates, descriptions, applicants count, and more.

🚀 Features

✅ Fast & reliable — Handles 50–200 job listings in just a few minutes.
✅ Detailed output — Includes job descriptions, applicants, and posting dates.
✅ Configurable — Set keyword, location, max jobs, and batch size for parallel scraping.
✅ CSV & JSON export — Automatically saves data in Apify Dataset and CSV file.
✅ Automatic login — Logs into LinkedIn and reuses saved sessions for faster runs.

🧩 Input parameters

Parameter	Type	Description
`keyword`	string	Keyword to search for (e.g., “data engineer”).
`location`	string	Location of the job search (e.g., “France”).
`maxJobs`	integer	Maximum number of job posts to scrape (default: 50).
`fetchDetails`	boolean	Whether to open each job and extract details (description, applicants, date, etc.).
`batchSize`	integer	Number of job detail pages opened in parallel. Recommended: 3 for optimal performance.

📊 Output data

Each job entry includes the following fields:

{
  "title": "Data Engineer",
  "company": "Company Name",
  "location": "Paris, Île-de-France, France",
  "url": "https://www.linkedin.com/jobs/view/123456789",
  "description": "Full job description text...",
  "applicants": "34",
  "postedDate": "2025-10-21T09:15:00.000Z",
  "postedDateRaw": "il y a 1 semaine",
  "companyLogo": "https://media.licdn.com/logo.png",
  "scrapedAt": "2025-10-28T10:00:00.000Z"
}

🧰 Use cases

• Market research for job demand across industries.
• Tracking hiring trends and company growth.
• Competitive analysis of hiring patterns.
• Feeding job data into dashboards or AI tools.
• Lead generation for recruiters or consultants.

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